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Virginia Tech

Discrete Small Sample Asymptotics

Abstract

dc:description.abstract

Random variables defined on the natural numbers may often be approximated by Poisson variables. Just as normal approximations may be improved by saddlepoint methods, Poisson approximations may be substantially improved by tilting, expansion, and other related methods. This work will develop and examine the use of these methods, as well as present examples where such methods may be needed.

Degree

thesis:*
Name thesis:degree_name
Ph. D.
Level thesis:degree_level
doctoral
Discipline thesis:degree_discipline
Statistics
Department dc:contributor.department
Statistics
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
1999

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Kathman, Steven Jay Jr.
Chair dc:contributor.committeechair
  • Terrell, George R.
Committee members dc:contributor.committeemember
  • Foutz, Robert
  • Ye, Keying
  • Reynolds, Marion R. Jr.
  • Smith, Eric P.

Subjects

dc:subject × 3

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
etd-121499-161722
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/30101

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Kathman, Steven Jay Jr.. Discrete Small Sample Asymptotics. doctoral thesis, Virginia Tech, 1999. http://hdl.handle.net/10919/30101